Comparative analysis of statistical and machine learning methods for predicting faulty modules

Applied Soft Computing Journal

Volumn 21, Issue , 2014, Pages 286-297

  Malhotra, Ruchika ^a  

^a DELHI TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

Logistic regression; Machine learning; Receiver Operating Characteristic (ROC) curve; Software quality; Static code metrics

Indexed keywords

COMPUTER SOFTWARE SELECTION AND EVALUATION; DECISION TREES; LEARNING ALGORITHMS; NEURAL NETWORKS; REGRESSION ANALYSIS; SOFTWARE DESIGN; SOFTWARE TESTING;

CASCADE CORRELATION NETWORK; GENE EXPRESSION PROGRAMMING; GROUP METHOD OF DATA HANDLING; LOGISTIC REGRESSIONS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; RECEIVER OPERATING CHARACTERISTIC CURVES; SOFTWARE QUALITY; STATIC CODE METRICS;

LEARNING SYSTEMS;

EID: 84899030449     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.03.032     Document Type: Article

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